A Trust-Based Secure Routing Scheme Using the Traceback Approach for Energy-Harvesting Wireless Sensor Networks

Tang, Jiawei; Liu, Anfeng; Zhang, Jian; Xiong, Naixue; Zeng, Zhiwen; Wang, Tian

doi:10.3390/s18030751

Cited by 63 publications

(54 citation statements)

References 61 publications

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“…However, in the network, the amount of data packets loaded by nodes in different areas is different. However, in the network, according to the literature [18], when the network is dead, the remaining energy of network reaches 90% of total initial energy in the network. It causes larger energy waste.…”

Section: Complexitymentioning

confidence: 99%

“…The network lifetime is defined as the time until the first node dies [18]. This is because when the first node is dead, the connection and coverage are damaged; when one node wants to transmit one data packet, the data packet will be lost when data packet is transmitted to the dead node.…”

Section: Complexitymentioning

confidence: 99%

“…Addressing this ever-increasing demand of data hungry devices in an efficient and effective manner has driven the wireless industry to look into new paradigms. Device-to-device (D2D) and machine-to-machine (M2M) communications are viewed as promising solutions to this complex problem and hence, a key enabling technology for 5G IoT [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

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Construction Low Complexity and Low Delay CDS for Big Data Code Dissemination

et al. 2018

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The diffusion of codes is an important processing technology for big data networks. In previous scheme, data analysis was conducted for small samples of big data and complex problems that cannot be processed by big data technology. Due to the limited capacity of intelligence device, a better method is to select a set of nodes (intelligence device) to form a connected dominating set (CDS) to save energy, and constructing CDS is proved to be a complete NP problem. However, it is a challenge to reduce the communication delay and complexity for urgent data transmission in big data. In this paper, an appropriate duty cycle control (ADCC) scheme is proposed to reduce communication delay and complexity while improving energy efficient in CDS-based WSNs. In ADCC scheme, the method for constructing CDS is proposed at lower complexity. Nodes in CDS are selected according to the degree of nodes. Then, duty cycle of dominator nodes in CDS is higher than that of dominated nodes, so the communication delay in the proposed scheme is far less than that of previous scheme. The duty cycle of dominated nodes is small to save energy. This is because the number of dominator nodes in CDS is far less than the number of dominated nodes whose duty cycle is small; thus, the total energy consumption of the network is less than that of the previous scheme. As a result, the performance of energy consumption and communication delay and complex have been improved. Its complexity O ∑ v i=0 m − i + 2m − 2v − s is reduced a lot for big data. The theoretical analysis shows that compared to the previous scheme, the transmission delay can be reduced 25-92% and the energy efficiency is improved by about 80% while retaining network lifetime.

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Section: Complexitymentioning

confidence: 99%

Section: Complexitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Construction Low Complexity and Low Delay CDS for Big Data Code Dissemination

et al. 2018

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“…Wireless sensor networks (WSNs) which are composed of inexpensive microprocessors, with the ability of wireless communication, computing, storage and sensing the surrounding environment [1,2,3,4,5], are emerging as promising platforms that enable a wide range of applications in numerous application areas such as smart cities [6], traffic monitoring [7], automation control in factories [8,9], monitoring public facilities, the environment, or weather [10,11,12,13], human health monitoring [14], wildlife protection, military applications and so on [15,16,17,18]. With the development of micro-processing technology, sensor nodes are becoming more and more powerful, while their volume is getting smaller and smaller, the price is getting lower and lower, and their application prospects are becoming more and more widespread [19,20,21,22,23].…”

Section: Introductionmentioning

confidence: 99%

An Adaption Broadcast Radius-Based Code Dissemination Scheme for Low Energy Wireless Sensor Networks

Liu

et al. 2018

Sensors

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Due to the Software Defined Network (SDN) technology, Wireless Sensor Networks (WSNs) are getting wider application prospects for sensor nodes that can get new functions after updating program codes. The issue of disseminating program codes to every node in the network with minimum delay and energy consumption have been formulated and investigated in the literature. The minimum-transmission broadcast (MTB) problem, which aims to reduce broadcast redundancy, has been well studied in WSNs where the broadcast radius is assumed to be fixed in the whole network. In this paper, an Adaption Broadcast Radius-based Code Dissemination (ABRCD) scheme is proposed to reduce delay and improve energy efficiency in duty cycle-based WSNs. In the ABCRD scheme, a larger broadcast radius is set in areas with more energy left, generating more optimized performance than previous schemes. Thus: (1) with a larger broadcast radius, program codes can reach the edge of network from the source in fewer hops, decreasing the number of broadcasts and at the same time, delay. (2) As the ABRCD scheme adopts a larger broadcast radius for some nodes, program codes can be transmitted to more nodes in one broadcast transmission, diminishing the number of broadcasts. (3) The larger radius in the ABRCD scheme causes more energy consumption of some transmitting nodes, but radius enlarging is only conducted in areas with an energy surplus, and energy consumption in the hot-spots can be reduced instead due to some nodes transmitting data directly to sink without forwarding by nodes in the original hot-spot, thus energy consumption can almost reach a balance and network lifetime can be prolonged. The proposed ABRCD scheme first assigns a broadcast radius, which doesn’t affect the network lifetime, to nodes having different distance to the code source, then provides an algorithm to construct a broadcast backbone. In the end, a comprehensive performance analysis and simulation result shows that the proposed ABRCD scheme shows better performance in different broadcast situations. Compared to previous schemes, the transmission delay is reduced by 41.11~78.42%, the number of broadcasts is reduced by 36.18~94.27% and the energy utilization ratio is improved up to 583.42%, while the network lifetime can be prolonged up to 274.99%.

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“…Topology control technology brings benefits to the network. (1) Reducing the energy consumption of nodes [10][11][12][13][14]: in wireless sensor networks, the density of communication devices is usually large [15]. When communication between devices to devices (D2D) is required, the transmission power can be adaptively adjusted according to the distance between devices (or nodes).…”

Section: Introductionmentioning

confidence: 99%

Adaptive Transmission Range Based Topology Control Scheme for Fast and Reliable Data Collection

Teng

Dong

Ota

et al. 2018

Wireless Communications and Mobile Computing

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An Adaptive Transmission Range Based Topology Control (ATRTC) scheme is proposed to reduce delay and improve reliability for data collection in delay and loss sensitive wireless sensor network. The core idea of the ATRTC scheme is to extend the transmission range to speed up data collection and improve the reliability of data collection. The main innovations of our work are as follows:(1) an adaptive transmission range adjustment method is proposed to improve data collection reliability and reduce data collection delay. The expansion of the transmission range will allow the data packet to be received by more receivers, thus improving the reliability of data transmission. On the other hand, by extending the transmission range, data packets can be transmitted to the sink with fewer hops. Thereby the delay of data collection is reduced and the reliability of data transmission is improved. Extending the transmission range will consume more energy. Fortunately, we found the imbalanced energy consumption of the network. There is a large amount of energy remains when the network died. ATRTC scheme proposed in this paper can make full use of the residual energy to extend the transmission range of nodes. Because of the expansion of transmission range, nodes in the network form multiple paths for data collection to the sink node. Therefore, the volume of data received and sent by the near-sink nodes is reduced, the energy consumption of the near-sink nodes is reduced, and the network lifetime is increased as well. (2) According to the analysis in this paper, compared with the CTPR scheme, the ATRTC scheme reduces the maximum energy consumption by 9%, increases the network lifetime by 10%, increases the data collection reliability by 7.3%, and reduces the network data collection time by 23%.

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A Trust-Based Secure Routing Scheme Using the Traceback Approach for Energy-Harvesting Wireless Sensor Networks

Cited by 63 publications

References 61 publications

Construction Low Complexity and Low Delay CDS for Big Data Code Dissemination

Construction Low Complexity and Low Delay CDS for Big Data Code Dissemination

An Adaption Broadcast Radius-Based Code Dissemination Scheme for Low Energy Wireless Sensor Networks

Adaptive Transmission Range Based Topology Control Scheme for Fast and Reliable Data Collection

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